/**
 * This program is free software, you can redistribute it and/or modify it.
 * Copyright (c) 2025 Huawei Technologies Co., Ltd.
 * This file is a part of the CANN Open Software.
 * Licensed under CANN Open Software License Agreement Version 2.0 (the "License").
 * Please refer to the License for details. You may not use this file except in compliance with the License.
 * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING
 * BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
 * See LICENSE in the root of the software repository for the full text of the License.
 */

#include <iostream>
#include <vector>
#include "acl/acl.h"
#include "aclnnop/aclnn_hans_encode.h"
#include "aclnnop/aclnn_hans_decode.h"

#define CHECK_RET(cond, return_expr) \
    do {                             \
        if (!(cond)) {               \
            return_expr;             \
        }                            \
    } while (0)

#define LOG_PRINT(message, ...)         \
    do {                                \
        printf(message, ##__VA_ARGS__); \
    } while (0)

int64_t GetShapeSize(const std::vector<int64_t>& shape)
{
    int64_t shapeSize = 1;
    for (auto i : shape) {
        shapeSize *= i;
    }
    return shapeSize;
}

int Init(int32_t deviceId, aclrtStream* stream)
{
    // 固定写法，初始化
    auto ret = aclInit(nullptr);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclInit failed. ERROR: %d\n", ret); return ret);
    ret = aclrtSetDevice(deviceId);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtSetDevice failed. ERROR: %d\n", ret); return ret);
    ret = aclrtCreateStream(stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtCreateStream failed. ERROR: %d\n", ret); return ret);
    return 0;
}

template <typename T>
int CreateAclTensor(
    const std::vector<T>& hostData, const std::vector<int64_t>& shape, void** deviceAddr, aclDataType dataType,
    aclTensor** tensor)
{
    auto size = GetShapeSize(shape) * sizeof(T);
    // 调用aclrtMalloc申请device侧内存
    auto ret = aclrtMalloc(deviceAddr, size, ACL_MEM_MALLOC_HUGE_FIRST);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtMalloc failed. ERROR: %d\n", ret); return ret);
    // 调用aclrtMemcpy将host侧数据拷贝到device侧内存上
    ret = aclrtMemcpy(*deviceAddr, size, hostData.data(), size, ACL_MEMCPY_HOST_TO_DEVICE);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtMemcpy failed. ERROR: %d\n", ret); return ret);

    // 计算连续tensor的strides
    std::vector<int64_t> strides(shape.size(), 1);
    for (int64_t i = shape.size() - 2; i >= 0; i--) {
        strides[i] = shape[i + 1] * strides[i + 1];
    }

    // 调用aclCreateTensor接口创建aclTensor
    *tensor = aclCreateTensor(
        shape.data(), shape.size(), dataType, strides.data(), 0, aclFormat::ACL_FORMAT_ND, shape.data(), shape.size(),
        *deviceAddr);
    return 0;
}

int main()
{
    // 1. （固定写法）device/stream初始化，参考acl API文档
    // 根据自己的实际device填写deviceId
    int32_t deviceId = 0;
    aclrtStream stream;
    auto ret = Init(deviceId, &stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("Init acl failed. ERROR: %d\n", ret); return ret);
    // 2. 构造输入与输出，需要根据API的接口自定义构造
    std::vector<float> inputHost(65536, 0);
    std::vector<float> mantissaHost(49152, 0);
    std::vector<float> fixedHost(16384, 0);
    std::vector<float> varHost(16384, 0);
    std::vector<int32_t> pdfHost(256, 0);
    std::vector<float> recoverHost(65536, 0);
    bool statistic = true;
    bool reshuff = false;
    int64_t outHostAddr = -1;
    int64_t outHostLength = 0;

    void* inputAddr = nullptr;
    void* outMantissaAddr = nullptr;
    void* outFixedAddr = nullptr;
    void* outVarAddr = nullptr;
    void* pdfAddr = nullptr;
    void* recoverAddr = nullptr;
    aclTensor* input = nullptr;
    aclTensor* outMantissa = nullptr;
    aclTensor* outFixed = nullptr;
    aclTensor* pdf = nullptr;
    aclTensor* outVar = nullptr;
    aclTensor* recover = nullptr;
    // 创建out aclTensor
    ret = CreateAclTensor(inputHost, {1, 65536}, &inputAddr, aclDataType::ACL_FLOAT, &input);
    CHECK_RET(ret == ACL_SUCCESS, return ret);
    ret = CreateAclTensor(mantissaHost, {1, 49152}, &outMantissaAddr, aclDataType::ACL_FLOAT, &outMantissa);
    CHECK_RET(ret == ACL_SUCCESS, return ret);
    ret = CreateAclTensor(fixedHost, {1, 16384}, &outFixedAddr, aclDataType::ACL_FLOAT, &outFixed);
    CHECK_RET(ret == ACL_SUCCESS, return ret);
    ret = CreateAclTensor(varHost, {1, 16384}, &outVarAddr, aclDataType::ACL_FLOAT, &outVar);
    CHECK_RET(ret == ACL_SUCCESS, return ret);
    ret = CreateAclTensor(pdfHost, {1, 256}, &pdfAddr, aclDataType::ACL_INT32, &pdf);
    CHECK_RET(ret == ACL_SUCCESS, return ret);
    ret = CreateAclTensor(recoverHost, {1, 65536}, &recoverAddr, aclDataType::ACL_FLOAT, &recover);
    CHECK_RET(ret == ACL_SUCCESS, return ret);
    // 3. 调用CANN算子库API，需要修改为具体的Api名称
    uint64_t workspaceSize = 0;
    aclOpExecutor* executor;
    // 调用aclnnHansEncode第一段接口
    ret = aclnnHansEncodeGetWorkspaceSize(
        input, pdf, statistic, reshuff, outMantissa, outFixed, outVar, &workspaceSize, &executor);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnHansEncodeGetWorkspaceSize failed. ERROR: %d\n", ret); return ret);
    // 根据第一段接口计算出的workspaceSize申请device内存
    void* workspaceAddr = nullptr;
    if (workspaceSize > static_cast<uint64_t>(0)) {
        ret = aclrtMalloc(&workspaceAddr, workspaceSize, ACL_MEM_MALLOC_HUGE_FIRST);
        CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("allocate workspace failed. ERROR: %d\n", ret); return ret);
    }
    // 调用aclnnHansEncode第二段接口
    ret = aclnnHansEncode(workspaceAddr, workspaceSize, executor, stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnHansEncode failed. ERROR: %d\n", ret); return ret);
    // 4. （固定写法）同步等待任务执行结束
    ret = aclrtSynchronizeStream(stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtSynchronizeStream failed. ERROR: %d\n", ret); return ret);
    // 5. 获取输出的值，将device侧内存上的结果拷贝至host侧，需要根据具体API的接口定义修改
    auto size = 16384 * sizeof(float);
    std::vector<float> resultData(16384, 0);
    ret = aclrtMemcpy(resultData.data(), size, outFixedAddr, size, ACL_MEMCPY_DEVICE_TO_HOST);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("copy result from device to host failed. ERROR: %d\n", ret); return ret);
    for (int64_t i = 0; i < 128; i++) {
        int32_t intVal = *reinterpret_cast<int32_t*>(&resultData[i]);
        LOG_PRINT("result header[%ld] is: %d\n", i, intVal);
    }

    uint64_t workspaceSizeDecode = 0;
    aclOpExecutor* executorDecode;
    // 调用aclnnHansDecode第一段接口
    ret = aclnnHansDecodeGetWorkspaceSize(
        outMantissa, outFixed, outVar, pdf, reshuff, recover, &workspaceSizeDecode, &executorDecode);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnHansDecodeGetWorkspaceSize failed. ERROR: %d\n", ret); return ret);
    // 根据第一段接口计算出的workspaceSize申请device内存
    void* workspaceAddrDecode = nullptr;
    if (workspaceSizeDecode > 0) {
        ret = aclrtMalloc(&workspaceAddrDecode, workspaceSizeDecode, ACL_MEM_MALLOC_HUGE_FIRST);
        CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("allocate workspace failed. ERROR: %d\n", ret); return ret);
    }
    // 调用aclnnHansEncode第二段接口
    ret = aclnnHansDecode(workspaceAddrDecode, workspaceSizeDecode, executorDecode, stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnHansDecode failed. ERROR: %d\n", ret); return ret);

    ret = aclrtSynchronizeStream(stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtSynchronizeStream failed. ERROR: %d\n", ret); return ret);
    std::vector<float> recoverData(65536, 0);
    ret = aclrtMemcpy(
        recoverData.data(), 65536 * sizeof(recoverData[0]), recoverAddr, 65536 * sizeof(recoverData[0]),
        ACL_MEMCPY_DEVICE_TO_HOST);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("copy result from device to host failed. ERROR: %d\n", ret); return ret);
    for (int64_t i = 0; i < 256; i++) {
        LOG_PRINT("reco[%ld] is: %f org is: %f\n", i, recoverData[i], inputHost[i]);
    }

    // 6. 释放aclTensor，需要根据具体API的接口定义修改
    aclDestroyTensor(input);
    aclDestroyTensor(outMantissa);
    aclDestroyTensor(outFixed);
    aclDestroyTensor(outVar);
    aclDestroyTensor(pdf);
    aclDestroyTensor(recover);

    // 7. 释放device资源，需要根据具体API的接口定义修改
    aclrtFree(inputAddr);
    aclrtFree(outMantissaAddr);
    aclrtFree(outFixedAddr);
    aclrtFree(outVarAddr);
    aclrtFree(pdfAddr);
    aclrtFree(recoverAddr);
    if (workspaceSize > static_cast<uint64_t>(0)) {
        aclrtFree(workspaceAddr);
    }
    if (workspaceSizeDecode > 0) {
        aclrtFree(workspaceAddrDecode);
    }

    aclrtDestroyStream(stream);
    aclrtResetDevice(deviceId);
    aclFinalize();
    return 0;
}